High temporal and spatial resolution characteristics of evaporation, transpiration, and evapotranspiration from a subalpine wetland by an advanced UAV technology

•An advanced UAV technology was developed to estimate ET of wetland patches.•It can characterize the variability in patch-scale ET due to spatial heterogeneity.•Transpiration rate is overall larger than open water evaporation.•Wetland vegetation led to an increase in ET and a decline of water landsc...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of hydrology (Amsterdam) 2023-08, Vol.623, p.129748, Article 129748
Hauptverfasser: Yan, Chunhua, Xiang, Jiao, Qin, Longjun, Wang, Bei, Shi, Zhe, Xiao, Weiyang, Hayat, Muhammad, Qiu, Guo Yu
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:•An advanced UAV technology was developed to estimate ET of wetland patches.•It can characterize the variability in patch-scale ET due to spatial heterogeneity.•Transpiration rate is overall larger than open water evaporation.•Wetland vegetation led to an increase in ET and a decline of water landscape. Wetland evapotranspiration (ET), which involves the land–atmosphere exchange of energy and water, is dynamic and affects the spatiotemporal distribution of water resources. However, due to the variability and complexity of wetlands, accurate estimation of patch-scale ET and its spatial variability remain insufficiently characterized. To overcome this challenge, an advanced unmanned aerial vehicle (UAV) technology was developed by combining the three-temperature (3T) model, which is robust to estimate transpiration and its spatial variability with UAV-based thermal infrared remote sensing, and Penman equation, which is commonly used to estimate open water evaporation. The combined approach was verified using the Bowen ratio system over a subalpine wetland. The results show that the proposed method is simple and applicable for estimating wetland ET and its spatial variability, with a determination coefficient (R2) of 0.93, mean absolute percentage error (MAPE) of 7.90%, root mean squared error (RMSE) of 0.05 mm h−1, and Nash-Sutcliffe efficiency (NSE) of 0.93. It depicts a large spatial variability in wetland ET with respect to surface vegetation characteristics, water regimes, meteorological factors, and larger transpiration rates than open water evaporation. With its limited inputs and no calibration requirements, the proposed method is concluded to be simple and to easily reveal the high temporal and spatial resolution characteristics of patch-scale ET and its components.
ISSN:0022-1694
1879-2707
DOI:10.1016/j.jhydrol.2023.129748